Data Analyst (OPA) (Ref: 250029I)

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge.

As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.

HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.

For more information about the University, please visit https://www.hkmu.edu.hk.

We are now looking for a suitable person to fill the following position in the Office of Planning and Analysis:

Data Analyst (OPA) (Ref: 250029I)

Major Duties and Responsibilities

The appointee will be responsible mainly for the following:

• Designing and conducting studies and reviews on academic analytics, employing rigorous statistical methods;
• Identifying data patterns and developing analytics dashboards;
• Maintaining and enhancing existing analytics dashboards;
• Monitoring data analysis activities to ensure efficiency, accuracy, and alignment with project goals;
• Identifying risks and issues related to or informed by data analytics and communicating relevant information to stakeholders;
• Conducting seminars/workshops on academic analytics;
• Preparing technical reports on academic analytics; and
• Undertaking other duties and responsibilities as assigned by the Director of Office of Planning and Analysis

Candidates

Candidates should possess the following qualifications, experience and competence:

• A recognized degree, preferably a higher degree with post-qualification experience, in computer science, data science, statistics, business analytics or related areas;
• Training and experience in data analytics for higher education is preferred;
• Proficiency with Python, or equivalent programming languages;
• Experience in data mining, data manipulation, statistical analysis, predictive modelling techniques and data visualization;
• Working experience in data analytics tools (e.g. Alteryx, Tableau, MS SQL Analysis Service, SQL Server Reporting Services and Power BI);
• Strong learning capability on new business knowledge, business processes, analytics tools / techniques and methods;
• Excellent leadership and management skills; strong interpersonal and organizational skills with servicing and collaborating mindsets; and
• Good communication skills in both English and Chinese (preferably including Putonghua).

Candidates may be invited to attend a written test.

Applicants with less relevant experience maybe considered for appointment at a lower rank.

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.

https://hkmu.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job=250029I

Closing date of application: 30 October 2025

The personal data collected will be used for the purpose of considering your application for employment.  For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.